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Data Engineer Junior - Data Evolution & Solutions
Build and maintain data pipelines and software solutions for a large European bank, focusing on batch and near-real-time systems using cloud and on-premise tech like Hadoop, Teradata, and Azure.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
GCP Data Engineer/Data Architect
Designs and builds secure, scalable GCP data pipelines (batch/streaming) using BigQuery, Dataflow, and Scala/Java/Python to turn raw data into business insights.
Senior Databricks Data Engineer
Design and build scalable, high-performance data pipelines on Databricks (Delta Lake, Medallion architecture) using PySpark/Scala, optimizing batch and streaming workloads for large-scale data processing in Azure.
Senior Databricks Data Engineer
Senior Data Engineer builds scalable ETL/ELT pipelines on Databricks (PySpark, Delta Lake) in Azure, designs Medallion architectures, and partners with Data Scientists and BI teams to deliver clean, governed data for analytics and ML.
GCP Cloud Data Engineer
Designs and builds modern data platforms and big-data pipelines on Google Cloud Platform using Python, PySpark, and Terraform, following Medallion Architecture and data-governance best practices.
Big Data Engineer
Designs and builds scalable data pipelines using Hadoop, Spark, and Python to process large datasets for clients across industries.
Cloud Data Engineer
Design and build cloud-based data pipelines, warehouses, and analytics solutions for clients using AWS, GCP, Azure, Databricks, and Snowflake.
Senior Data Engineer
Senior Data Engineer designs and builds scalable ETL/ELT pipelines and distributed data architectures (cloud, on-prem, or hybrid) using Python, PySpark, and SQL for modern data platforms.
Data Engineer III (Remote)
Designs and builds scalable data pipelines and cloud-native systems using Hadoop, Spark, Java, and IaC tools to enable data-driven architectures.
Bootcamp Big Data Engineer
Design scalable Big Data and Cloud architectures using Hadoop and Spark, integrating systems with governance and optimizing performance and security.
Data Engineer M/F
Build and optimize data pipelines using Spark, Scala, Python, and AWS to enable analytics and ML workflows for clients.
Data Engineer
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform operational data into a governed Lakehouse architecture for analytics and business services.
Big Data Engineer
Builds and maintains scalable big-data pipelines and storage layers using Spark, Kafka, and NoSQL databases to support analytics and ML workloads for an insurtech and IoT-focused company.
Hybrid Data Engineer – Scalable Pipelines & Spark
Designs, builds, and maintains scalable, high-performance data pipelines using Python, Spark, Hadoop, and Airflow for a product-focused team in Torino.
Data Engineer
Build and maintain real-time data pipelines using CDC, Kafka, Spark, and Iceberg to move and transform enterprise data across Bronze/Silver/Gold layers.
Data Engineer
Build and optimize distributed Big Data pipelines and ETL workflows using Java, Apache Spark, Kafka, and Cloudera for financial-sector clients.
Data Engineer
Design and build modern data platforms and scalable AI ecosystems for global clients using Spark, Hadoop, Kafka, and cloud/on-prem environments.
Data Engineer
Designs, builds, and maintains scalable, high-performance data pipelines using Python, PySpark, and PostgreSQL for a product-focused team in Torino.
Data Engineer
Designs and maintains scalable data pipelines and cloud infrastructure for clients in telecom, media, finance, automotive, and consumer sectors using Python, Spark, Kafka, and cloud platforms.